Narula Institute of Technology

About: Narula Institute of Technology is a based out in . It is known for research contribution in the topics: Quantum dot cellular automaton & Cognitive radio. The organization has 288 authors who have published 490 publications receiving 2258 citations. The organization is also known as: NiT.

Design of resistor string digital to analog converter using nano dimensional MOS transistor for low power and high speed circuit application

Abstract: In this work the design of resistor string based digital to analog converter (DAC) using nano dimensional metal oxide semiconductor field effect transistor (MOSFET) has been demonstrated. Two bit binary word is taken as input digital data. Analog values corresponding to digital data are passes through transmission gate (TG) to output terminal. In order to clarify the functionality of the DAC, power supply voltage VDD varied from 0.5 volt to 1.2 volt. The satisfactory analog output corresponds to binary data indicates the correctness in design of the DAC. Average power consumption, conversion delay and power delay product(PDP) of the DAC is also presented in this work. The results are satisfactory context to low power and high speed very large scale integrated (VLSI) circuit application. The circuit of the DAC has been designed at 150nm channel length of MOS transistor using Tanner SPICE (T-SPICE) software.

Virtual molecular computing – emulating DNA molecules

Abstract: Inherent complementary nature of double-stranded DNA molecules has led to the DNA computing model which provides massive parallelism. In order to facilitate study of this model without test-tubes and their associated laboratory errors, this paper proposes a scheme for software emulation of a well-known test tube algorithm, the first NP-complete problem SAT. Multi-threading is employed to obtain the effect of simultaneous test-tube reactions.

New Sorting Algorithm—RevWay Sort

Abstract: Sorting provides a method of rearrangement of elements in ascending or descending order. In this paper, we are introducing a new sorting algorithm called RevWay sort in which the two consecutive numbers are compared from left and then from right. This process is repeated \(((n/2)+1)\) times, where n is the total number of elements. We have compared running time of the proposed algorithm with other sorting algorithms. We run the algorithm starting from 10,000 to 50,000 elements. We found that the newly proposed RevWay sort yields lesser running time compared to bubble and selection sort. For 10,000 elements, RevWay sort takes 203.636 ms, whereas bubble sort takes 364.8243ms and selection sort consumes 337.5543 ms.

Contingency Analysis and Ranking for a 30 Bus System to Maintain Its Stability and Reliability

Abstract: Contingency analysis is performed to maintain secured operation of a power system. In this analysis technique, probabilistic prediction is made for the outage of each transmission line components and to take necessary actions to regain the system security, reliability and stability. Contingencies can be broadly classified into two types, viz. simple type where outage of a single component takes place or complex type where outage of multiple components has taken place. The process of determining the severity of these contingency, contingency sorting is done, i.e. to calculate the performance indices (PI) for each case and sort them according to their performances. The main objective of this paper is to carry out contingency analysis of a 30-Bus system by calculating the performance indices for single generator with single loadline outage, double generator outage and double loadline outage with help of Newton–Raphson load flow contingency analysis on MATLAB environment and ranking of the contingency according to their respective performance indices (PI) . This type of ranking provides an effective mean to rank the different abnormal cases according to their severity and take necessary actions beforehand to prevent total system failure